magicsort: Returns a sorted data matrix

In SensoMineR: Sensory Data Analysis

Description

Sort the rows and columns of a matrix in a "magic" order or by ascending (or descending) mean or median or geometrical mean.

Usage

magicsort(matrice, sort.mat = matrice, method = "magic",
    byrow = TRUE, bycol = TRUE, ascending = TRUE)

Arguments

matrice	a data matrix to sort
sort.mat	sort the rows and columns according to the result of the PCA made on this matrix (by default the matrice)
method	four types of calculations, magic ("magic"), ("median"), arithmetical ("mean") or geometrical ("geo") mean (by default magic)
byrow	boolean, if TRUE then data are sorted over the rows
bycol	boolean, if TRUE then data are sorted over the columns
ascending	boolean, if TRUE then data are sorted in ascending order

Details

Very useful function to compare results.

Author(s)

F Husson, S Le

Examples

## Example 1
data(chocolates)
resdecat<-decat(sensochoc, formul = "~Product", firstvar = 5, 
    graph = FALSE)
coltable(magicsort(resdecat$tabT), level.lower = -1.96, 
    level.upper = 1.96, main.title = "Products' description")

## Example 2
data(chocolates)
resperf<-paneliperf(sensochoc, 
    formul = "~Product+Panelist+Product:Panelist",
    formul.j = "~Product", col.j = 1, firstvar = 5, lastvar = 12,
    synthesis = FALSE, graph = FALSE)
res.sort=magicsort(resperf$prob.ind, method = "median")
coltable(res.sort, main.title = "P-values of the F-test by panelist")

Example output

Loading required package: FactoMineR
dev.new(): using pdf(file="Rplots1.pdf")

SensoMineR documentation built on July 2, 2020, 1:56 a.m.